Please use this identifier to cite or link to this item: doi:10.22028/D291-28202
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Title: Multi-Touch Skin: A Thin and Flexible Multi-Touch Sensor for On-Skin Input
Author(s): Nittala, Adiyata Shekhar
Withana, Anusha
Pourjafarian, Narjes
Steimle, Jürgen
Language: English
Title: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Startpage: 1
Endpage: 12
Publisher/Platform: ACM
Year of Publication: 2018
Place of publication: New York
Title of the Conference: CHI '18: CHI Conference on Human Factors in Computing Systems
Place of the conference: Montreal, Québec, Canada
Publikation type: Conference Paper
Abstract: Skin-based touch input opens up new opportunities for direct, subtle, and expressive interaction. However, existing skin-worn sensors are restricted to single-touch input and limited by a low resolution. We present the first skin overlay that can capture high-resolution multi-touch input. Our main contributions are: 1) Based on an exploration of functional materials, we present a fabrication approach for printing thin and flexible multi-touch sensors for on-skin interactions. 2) We present the first non-rectangular multi-touch sensor overlay for use on skin and introduce a design tool that generates such sensors in custom shapes and sizes. 3) To validate the feasibility and versatility of our approach, we present four application examples and empirical results from two technical evaluations. They confirm that the sensor achieves a high signal-to-noise ratio on the body under various grounding conditions and has a high spatial accuracy even when subjected to strong deformations.
DOI of the first publication: 10.1145/3173574.3173607
URL of the first publication: https://dl.acm.org/doi/10.1145/3173574.3173607
Link to this record: hdl:20.500.11880/27522
http://dx.doi.org/10.22028/D291-28202
ISBN: 978-1-4503-5620-6
Date of registration: 13-Jul-2019
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Jürgen Steimle
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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